Triple

T1547372
Position Surface form Disambiguated ID Type / Status
Subject Noëlle Boisson E33008 entity
Predicate notableWork P4 FINISHED
Object The Bear E171621 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Bear | Statement: [Noëlle Boisson, notableWork, The Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bear
Context triple: [Noëlle Boisson, notableWork, The Bear]
  • A. The Bear chosen
    The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
  • B. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • C. The Nine Bears
    The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
  • D. The Moose
    "The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • E. The Fox
    The Fox is a film featuring Sydney Chaplin, the son of legendary comedian and filmmaker Charlie Chaplin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.